Sortie-based Aircraft Component Demand Rate to Predict Requirements

Abstract

Weapon System Sustainment (WSS) costs are growing at an increasing rate despite the vast efforts to reduce these costs. To address this problem, the purpose of this study is to explore a parsimonious change to aircraft component forecasting to reduce costly forecast error. The United States Air Force (USAF) predicts the demand for components modeled after the Poisson process. The number of flying hours until demand is exponentially distributed and the expected number of demands in a giving time interval has a discrete Poisson distribution. This study replaces flying hours with sorties to measure time for the purpose of demand forecasting. Many F-16 and B-52 spare parts are evaluated by employing demand

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2020
Accession Number
AD1101492

Entities

People

  • Thomas R. O'neal

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Equipment
  • Aircrafts
  • Correlation Analysis
  • Department Of Defense
  • Equations
  • Governments
  • Literature Surveys
  • Logistics
  • Logistics Management
  • Maintenance
  • Spreadsheet Software
  • Supply Chain
  • Supply Chain Management
  • United States
  • United States Government

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Industrial Economics